IIT JAM Economics Syllabus

IIT JAM Economics syllabus includes units like Microeconomics, Macroeconomics, Indian Economy etc. The table below highlights the entire IIT JAM Economics syllabus.

Units

Topics

Microeconomics

Consumer Theory

  • Preference, utility and representation theorem, budget constraint, choice, demand (ordinary and compensated), Slutsky equation, revealed preference axioms.

Theory of Production and Cost

  • Production technology, isoquants, production function with one or more inputs, returns to scale, short-run and long-run costs, cost curves in the short run and long run

General Equilibrium and Welfare

  • Equilibrium and efficiency under pure exchange and production, welfare economics, theorems of welfare economics

Market structure

  • Perfect competition, monopoly, pricing with market power, price discrimination (first, second and third), monopolistic competition and oligopoly

Game theory

  • Strategic form games, iterated elimination of dominated strategies, Nash equilibrium, mixed extension and mixed strategy Nash equilibrium, examples: Cournot, Bertrand duopolies, Prisoner’s dilemma.

Public goods and market failure

  • Externalities, public goods and markets with asymmetric information (adverse selection and moral hazard).

Macroeconomics

National Income Accounting

  • Structure, key concepts, measurements, and circular flow of income – for closed and open economy, money, fiscal and foreign sector variables – concepts and measurements

Behavioural and technological functions

  • Consumption functions – absolute income hypothesis, life-cycle and permanent income hypothesis, random walk model of consumption, Investment functions – Keynesian, money demand and supply functions, production function

Business cycles and economic models (closed economy)

  • Business cycles-facts and features, the Classical model of the business cycle, the Keynesian model of the business cycle, simple Keynesian cross model of income and employment determination and the multiplier (in a closed economy), IS-LM Model, Hicks’ IS-LM synthesis, role of monetary and fiscal policies

Business cycles and economic models (open economy)

  • Open economy, MundellFleming model, Keynesian flexible price (aggregate demand and aggregate supply) model, role of monetary and fiscal policies

Inflation and unemployment

  • Inflation – theories, measurement, causes, and effects, unemployment – types, measurement, causes, and effects

Growth models

  • Harrod-Domar, Solow and Neo-classical growth models (AK model, Romer model and Schumpeterian growth model).

Indian Economy

Indian Economy before 1950

  • Transfer of tribute, deindustrialization of India

Planning and Indian development

  • Planning models, relation between agricultural and industrial growth, challenges faced by Indian planning.

Indian Economy after 1991

  • Balance of payments crisis in 1991, major aspects of economic reforms in India after 1991, reforms in trade and foreign investment

Banking, Finance and Macroeconomic Policies

  • Aspects of banking in India, CRR and SLR, financial sector reforms in India, fiscal and monetary policy, savings and investment rates in India

Inequalities in Social Development

  • India’s achievements in health, education and other social sectors, disparities between Indian States in human development.

Poverty

  • Methodology of poverty estimation, Issues in poverty estimation in India

India’s Labour Market

Unemployment, labour force participation rates.

Mathematics of Economics

Preliminaries and Functions

  • Set theory and number theory.
  • Elementary functions: quadratic, polynomial, power, exponential, logarithmic.
  • Functions of several variables, graphs and level curves, convex set, concavity and quasiconcavity of function.
  • Convexity and quasi-convexity of functions, sequences and series: convergence, algebraic properties and applications.

Differential Calculus

  • Limits, continuity and differentiability, mean value theorems.
  • Taylor’s theorem, partial differentiation, gradient, chain rule, second and higher order derivatives: properties and applications.
  • Implicit function theorem, and application to comparative statics problems.
  • Homogeneous and homothetic functions: characterisations and applications.

Integral calculus

  • Definite integrals, fundamental theorems, indefinite integrals and applications.

Differential Equations and Difference Equations

  • First-order difference equations, first-order differential equations and applications

Linear Algebra

  • Matrix representations and Elementary operations
  • Systems of linear equations: properties of their solution, linear independence and dependence.
  • Eank, determinants, eigenvectors and eigenvalues of square matrices, symmetric matrices and quadratic forms, definiteness and semidefiniteness of quadratic forms.

Optimization

  • Local and global optima: geometric and calculus-based characterisations, and applications.
  • Multivariate optimization, constrained optimization and method of Lagrange multiplier.
  • Second order condition of optima, definiteness and optimality, properties of value function: envelope theorem and applications.
  • Linear programming: graphical solution, matrix formulation, duality, economic interpretation.

Statistics of Economics

Probability Theory

  • Sample space and events, axioms of probability and their properties, conditional probability and Bayes’ rule, independent events, random variables and probability distributions.
  • Expectation, variance and higher order moments, functions of random variables, properties of commonly used discrete and continuous distributions.
  • Density and distribution functions for jointly distributed random variables mean and variance of jointly distributed random variables, covariance and correlation coefficients.

Mathematical statistics

  • Random sampling, types of sampling, point and interval estimation, estimation of population parameters using methods of moments and maximum likelihood procedures.
  • Properties of estimators, sampling distribution, confidence intervals, central limit theorem, law of large number

Hypothesis testing

  • Distributions of test statistics, testing hypotheses related to population parameters, Type I and Type II errors, the power of a test, and tests for comparing parameters from two samples.

Correlation and regression

  • Correlation and types of correlation, the nature of regression analysis, method of Ordinary Least Squares (OLS), CLR.

IIT JAM Syllabus 2024 (Out): Download Syllabus PDF (Free) for Mathematics, Biotechnology, Physics, Chemistry

IIT JAM syllabus 2024 has been released by the IIT Madras for all seven subjects. The exam syllabus will remain the same as for the 2023 exam paper. Students who have successfully applied for the exam can download the IIT JAM exam syllabus and work on their exam preparation. IIT JAM 2024 will be conducted on 11th February, through which, selected candidates will be offered admission to 7 MSc courses at IITs: Biotechnology (BL), Economics (EN), Chemistry (CY), Physics (PH), Mathematical Statistics(MS), Mathematics (MA), and Geology (GG). IIT JAM exam paper consists of a total of 6 questions of 3 different types; MCQs, MSQs, and numerical based. Candidates looking forward to the exam paper need to have a proper understanding of their exam syllabus.

Therefore, to assist candidates with the best exam preparation, today, we will discuss the IIT JAM syllabus for the year 2024.

Table of Content

  • IIT JAM Syllabus 2024: Highlights
  • IIT JAM Syllabus 2024 PDF
  • IIT JAM Physics Syllabus
  • IIT JAM Biotechnology Syllabus
  • IIT JAM Mathematics Syllabus
  • IIT JAM Mathematical Statistics Syllabus
  • IIT JAM Chemistry Syllabus
  • IIT JAM Economics Syllabus
  • IIT JAM Geology Syllabus

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Conclusion

This was all about the IIT JAM syllabus 2024. We hope we were able to cover all the latest updates on this topic. If you want to learn more about IIT JAM 2024 or any other entrance exam, feel free to visit GeeksforGeeks....

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